TITLE: “Evolutionary perspectives on malaria”

Pathogen genomics increasingly guides public health decisions, yet organisms with complex life cycles can produce genealogies that violate assumptions of standard population genetic methods. Similarly, despite decades of population-genetic methods to infer population or adaptive histories in humans, allele frequencies are often modeled to be roughly constant on short timescales relevant for public health. Here I discuss computational methods to leverage the growing amounts of genomic data from both host and pathogen perspectives. In particular, I consider genomic evolution on ecologically and epidemiologically relevant timescales, with implications for public health and basic biology.